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Premature atrial complexes detection using the Fisher Linear Discriminant

Elgendi, Mohamed Y., Jonkman, Mirjam E. and De Boer, Friso G. (2008). Premature atrial complexes detection using the Fisher Linear Discriminant. In: 7th IEEE International Conference on Cognitive Informatics, Stanford, California, 14-16 August, 2008.

Document type: Conference Paper

IRMA ID 77514990xPUB4
Author Elgendi, Mohamed Y.
Jonkman, Mirjam E.
De Boer, Friso G.
Title Premature atrial complexes detection using the Fisher Linear Discriminant
Conference Name 7th IEEE International Conference on Cognitive Informatics
Conference Location Stanford, California
Conference Dates 14-16 August, 2008
Conference Publication Title Proceedings of the 7th IEEE International Conference on Cognitive Informatics ICCI 2008
Place of Publication San Francisco
Publisher IEEE
Publication Year 2008
ISBN 9781424425389   (check CDU catalogue open catalogue search in new window)
Start Page 83
End Page 88
Total Pages 6
HERDC Category E1 - Conference Publication (DEST)
Abstract Currently, no reliable method exists to detect premature atrial complexes (PAC). The detection of PACs is clinically essential to predict supraventricular tachycardia, postoperative atrial fibrillation and paroxysmal atrial fibrillation. We propose an algorithm for intra-class classification that includes an analysis of the R-R time series. In the pre-processing phase, we used Butter worth filters to remove the baseline wander and the other noise. In the feature extraction phase, we detected the RR interval duration and the distance between the occurrence of P wave and T wave. Using these features we applied Fisherpsilas Linear Discriminant to create a criterion that can be used for classification. Combining pre-processing, feature extraction and Fisherpsilas Linear Discriminant we succeed in separating Normal and PAC beats with 99% Accuracy.
 
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Created: Wed, 22 Apr 2009, 12:34:48 CST by Sarena Wegener